With R 2.14 slated to be released next week we wanted to encourage everyone planning to upgrade to also update to the latest release of RStudio (v0.94.110). For R 2.14 users this release includes tweaks related to compatibility with the R 2.14 graphics engine as well as compatibility with the new parallel package. There are also a number of other bug fixes which make this a worthwhile update even for users not running R 2.
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RStudio Beta 3 (v0.94) is available for download today. The goal for this release was to refine and improve our core features based on the feedback we’ve gotten on our first two betas. Highlights of the new release include:
Source editor enhancements — New editor features include brace/paren/quote matching, more intelligent cursor placement after newlines, function navigation, regex find and replace, run to/from the current line, and a command to re-run the last code region.
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RStudio Beta 2 (v0.93) is available for download today. We’ve gotten incredibly helpful input from the R community and this release reflects a lot of that feedback.
The release notes have the full details on what’s new. Some of the highlights include:
Source Editor Enhancements Highlight all instances of selected text
Insert spaces for tabs (soft-tabs)
Customizable print margin line
Selected line highlight
Toggle line numbers on/off
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RStudio is a new open-source IDE for R which we’re excited to announce the availability of today. RStudio has interesting features for both new and experienced R developers including code completion, execute from source, searchable history, and support for authoring Sweave documents.
RStudio runs on all major desktop platforms (Windows, Mac OS X, Ubuntu, or Fedora) and can also run as a server which enables multiple users to access the IDE using a web browser.
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We started the RStudio project because we were excited and inspired by R. The creators of R provided a flexible and powerful foundation for statistical computing; then made it free and open so that it could be improved collaboratively and its benefits could be shared by the widest possible audience.
It’s better for everyone if the tools used for research and science are free and open. Reproducibility, widespread sharing of knowledge and techniques, and the leveling of the playing field by eliminating cost barriers are but a few of the shared benefits of free software in science.
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